.png){kind=icon}
返回
Bee-Inspired Evaluation Algorithm Leads to Improved Decision Making in Groups
.png){kind=icon}
OA
AI
DOI：10.1109/JSYST.2019.2914212.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The emergence of technology as a fundamental centerpiece in everyday life has allowed for more connections and human groups than ever before. Each of these groups faces decisions that impact all members, ranging from the type of food to order for an event to relocating a company's headquarters. Traditionally, groups might make a decision by asking members to vote or by having a committee make an executive decision. However, these traditional means do not handle situations with many possible solutions well, nor leverage the experience of the group members. Humans are not the only, nor even the first creatures to make group decisions. We can look to social insects which make decisions for colonies of up to tens of thousands of individuals. Drawing inspiration from how honey bees, (Apis mellifera), find new nest sites, the bee-inspired evaluation (BIE) algorithm was developed. This mechanism was modeled and shown that simulated groups make decisions that average within 0.2% of the optimal choice. Simulated groups consistently made less error-prone decisions using the BIE algorithm when compared to a simple majority voting system.
Keyword:
Bioinspiration
decision-making mechanism
group decision making
honey bees
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
I
IF:
2.4
论文数:
4.5K
被引数:
387
机构
引用论文
Promoting hydrogen evolution of a g-C3N4-based photocatalyst by indium and phosphorus co-doping
PREAI
分享收藏Introducing 2-(2-carboxyphenoxy)terephthalic acid as a new versatile building block for design of diverse coordination polymers: synthesis, structural features, luminescence sensing, and magnetism.png)
CrystEngComm
CrystEngCommIF0
PREAI
分享收藏 没有更多内容
没有更多内容